Objective To systematically evaluate the related factors that lead to the underestimation of puncture pathology of ductal carcinoma in situ (DCIS), and to reduce the underestimation rate of puncture pathology of DCIS by controlling related factors. Methods A computer search of PubMed, Web of Science, The Cochrane Library, EMbase, CNKI, and Wanfang databases were conducted to retrieve clinical studies that led to underestimation of puncture pathology for DCIS between the establishment of the database and April 1, 2021. After two researchers independently screened the literatures, extracted the data, and evaluated the risk of bias in the included studies, RevMan 5.4 software was used for meta analysis. Results A total of 24 studies including 8 810 patients were included. Results of meta analysis showed that puncture pathology underestimation rate in patients ≥50 years old was lower than that <50 years old [OR=0.82, 95%CI (0.70, 0.96), P=0.020]. Breast imaging reporting and data system (BI-RADS) of DCIS ≤4A class patients had a lower puncture pathology underestimation rate [OR=0.38, 95%CI (0.21, 0.68), P=0.001]. Human epidermal growth factorreceptor 2 (HER2) negative [OR=1.69, 95%CI (1.12, 2.55), P=0.010], no calcification in the mass [OR=1.55, 95%CI (1.10, 2.18), P=0.010], estrogen receptor (ER) positive [OR=0.73, 95%CI (0.60, 0.89), P=0.001], progesterone receptor (PR) positive [OR=0.62, 95%CI (0.44, 0.86), P=0.004], tumor diameter ≤2 cm [OR=2.98, 95%CI (2.18, 4.09), P<0.001], DCIS patients with low/intermediate nuclear grading [OR=0.58, 95%CI (0.50, 0.68), P<0.001], and untouchable masses [OR=0.48, 95%CI (0.28, 0.82), P=0.008] had lower puncture pathology underestimation rate. Conclusions In patients with DCIS, age≥50 years, BI-RADS≤4A class, mass diameter ≤2 cm, non-palpable mass, low nuclear grade (low grade/medium grade DCIS), ER positive, PR positive, HER2 negative, and no calcification can reduce the underestimation rate of puncture pathology. Due to the limitation of the number and quality of included studies, the above conclusions need to be confirmed by the results of high quality cohort studies with large samples.